We Turn Your Data into Valuable Knowledge
Gotik specialists accompany you along the entire data value chain: from developing and implementing your data strategy to building tools for data collection and selecting optimal analysis methods.
Your Benefits through Data and Analytics
Strategic Decision Making
Our analyses help you better assess future developments and make strategically smart decisions.
Make Complex Data Usable
We offer tools with which you can effectively use large and complex amounts of data.
Our Data and Analytics Services
Development of Data Strategies
Our specialists support you in planning and implementing a customized data strategy that aligns with your company goals.
Building Data Collection Tools
We offer solutions for efficient collection and structuring of your data to create a solid foundation for analysis.
Selection of Analysis Tools
We advise you on selecting the optimal analysis tools and methods for your specific requirements.
Expertise in AI and Machine Learning
Our software engineers are up-to-date in areas such as Artificial Intelligence, Smart Bots, Machine Learning, and Data Mining.
Specific Tool Development
We develop the tools you need to effectively use and understand your data in the shortest possible time.
Technical and Business Expertise
Our experts master not only the technical aspects but also understand business challenges to deliver analyses with measurable value.
Data Science Innovation Workshop
The Data Science Innovation Workshop offers you an ideal format to assess potentials and risks in the area of Data & Analytics faster and better. We support you individually with our process, methods, technology, and business expertise.
Request Workshop Information
Assess Potentials & Risks
Faster and better with our expertise
Frequently Asked Questions
What is the difference between Data Science and Data Analytics?
While Data Analytics mainly focuses on interpreting existing data, Data Science goes a step further and develops algorithms to detect patterns in complex data.
Data Science
- Interdisciplinary: Combines statistics, computer science, and business analysis
- Predictive and prescriptive focus
- Often works with Big Data
Data Analytics
- Focused on evaluating existing data
- Descriptive: Explains past and present
- Usually deals with structured data
Why is a data strategy important?
A data strategy is crucial because it defines how your organization collects, processes, analyzes, and uses data. Without a clear strategy, companies risk data silos, inconsistent data quality, and missed opportunities for optimization and innovation. A well-thought-out data strategy enables informed decision-making, improves operational efficiency, and creates a competitive advantage.
Do You Want to Turn Your Data into Knowledge?
Schedule a free consultation now!
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